AI Capabilities Collaboration Lab

About Course

Most teams are experimenting with AI.
Very few are getting consistent results.

Not because the technology isn’t capable—but because the way we work with it hasn’t been defined.

This lab is not about learning more prompts.

It’s about learning how to work with AI as a thinking partner—individually and as a team.

Over five modules, your team will move from:

one-off interactions → structured collaboration
trial-and-error → deliberate iteration
vague requests → clear intent
individual experimentation → shared team practices
invisible usage → visible, measurable capability

These are live, online, hands-on, working sessions with teams.

You will bring real work.

You will use AI during the session.

You will build a Team AI Playbook that reflects how your team actually works.

By the end, your team won’t just understand AI better, you’ll know how to use it—together—with clarity, consistency, and confidence.

What Makes This Different

This is not a lecture.

It’s not a library of prompts.

It’s not a one-time training.

This is a working lab where:

you use AI in real time
you reflect on what happens
you align with your team
and you build a system that continues after the lab ends

Work with AI as a collaborator—not just a tool
Structure interactions using simple, repeatable patterns
Iterate effectively instead of restarting when outputs fall short
Define success and intent before prompting
Surface hidden assumptions using AI as a thinking partner
Apply practical workflows for writing, planning, and analysis
Align with your team on shared AI practices that improve consistency
Create and evolve a Team AI Playbook
Make AI usage visible in ways that support learning—not control
Establish simple feedback loops that sustain improvement over time

Course Content

Module 1: Working With AI
The foundation module. You'll discover what actually drives the difference between frustrating and remarkable AI interactions — and experience it firsthand using real work you're doing right now.What changes in this module: You move from treating AI as a tool you instruct to treating it as a thinking partner you engage. That shift — in mindset and in practice — is the foundation everything else builds on.What you'll build: Page 1 of your Team AI Playbook — "How We Work With AI" — with specific commitments your team will carry into the week ahead.

Lesson 1: Before the Session
Lesson 2: The Interaction Gap
Lesson 3: The Foundation — COAT
Lesson 4: Five Moves That Change Everything
Lesson 5: Live Exercise — Your Real Work
Lesson 6: Team AI Playbook — Page 1

Module 2: The Collaborative Loop
You know how to show up to an AI interaction. You have COAT. You have the Five Moves. Now here's what happens next: you need to go further. And that's where most people stall. Module 2 gives you a structure for iteration that actually converges — the Collaborative Loop: Frame, Generate, Evaluate, Refine. Not a rigid process. A shape for the work.

Module 3: Working With Intent
Most teams assume misaligned AI outputs mean they need better prompts. They don't. They need clearer thinking. This module introduces the capability that makes everything else work: Working With Intent. You'll learn to define success before you start, surface hidden assumptions, and use AI as a mirror for your thinking — not just a tool for producing outputs. You'll leave with The Mirror Moves: five ways to use AI to develop clarity before you ask it to create anything.

Module 4: From Individual to Team Capability
Modules 1–3 built your individual capability: how to show up to AI interactions, how to iterate with structure, and how to develop clarity before you generate. Module 4 asks a harder question: what happens when your teammates aren't working the same way you are? This module is about turning individual skill into team capability — building shared agreements, standard workflows, and a team AI Playbook that raises the floor for everyone, not just the best performers.

Module 5: Visibility and Learning
Modules 1–4 built capability. Module 5 answers the question that follows: how do you keep it? Without visibility into how AI work is going, practices drift. Without a learning loop, the floor stops rising. This module gives your team the mechanisms to sustain and improve capability over time — not through more training, but through how you work together day to day.

About Course